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math benchmark

FinQA

A large-scale dataset for numerical reasoning over financial data with question-answering pairs written by financial experts, featuring complex numerical reasoning and understanding of heterogeneous representations with annotated gold reasoning programs for full explainability

Updated Aug 7, 2026

Published models3
Registry coverage3
MetricScore
EvidenceB

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  • Distribution
  • Highlights
  • About
  • FAQ

FinQA leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

3 rows
Columns

Show columns

1AMNova ProAmazon77.2%100.0%3CAug 7, 2026
2AMNova LiteAmazon73.6%50.0%3CAug 7, 2026
3AMNova MicroAmazon65.2%0.0%3CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

FinQA

FinQA highlights

The top published results on this benchmark's own scale.

Rank #1Nova Pro77.2%Rank #2Nova Lite73.6%Rank #3Nova Micro65.2%

What is FinQA?

Definition and scoring fields from the benchmark registry.

A large-scale dataset for numerical reasoning over financial data with question-answering pairs written by financial experts, featuring complex numerical reasoning and understanding of heterogeneous representations with annotated gold reasoning programs for full explainability

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
FinQA
Modality
text
Primary category
math
Score direction
higher
LLMBoard eligible
No
Evaluation key
finqa|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about FinQA.

Which model scores highest on FinQA?

Nova Pro is currently ranked first with 77.2%.

What does FinQA measure?

A large-scale dataset for numerical reasoning over financial data with question-answering pairs written by financial experts, featuring complex numerical reasoning and understanding of heterogeneous representations with annotated gold reasoning programs for full explainability

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

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